Intellectual hub of the topic
The question of who exactly creates meaning when algorithms join the process of writing, drawing, or programming has become one of the most complex debates in modern law and aesthetics. In this selection, we examine the phenomenon of authorship not as a legal formality, but as a profound transformation of our traditional understanding of the creative subject. Here, we have gathered research and materials that analyze the boundaries between a tool and a co-author, as well as attempts to define the extent of human involvement in the outputs of generative systems.
Lab
Finance & Economics
A study on how a language model-based algorithm helps publishers monetize content consumed by AI systems – and does it better than the editors themselves.
AI: Events
Society
Researchers have discovered how restrictions are embedded in ChatGPT, revealing that it's more complex than simply a list of prohibited topics.
A deep dive into how the 'Gumbel watermarking' method embeds an invisible trace into AI text – and why it's so tricky to find.
The digital classic reflects on love in instant messengers, fate governed by algorithms, and whether science has become the new language for old magic.
AI: Events
Research
The AI Scientist system has published a full-fledged scientific paper in the journal Nature for the first time – we explain what this means for science and research.
AI: Events
Development
Google has opened developer access to Lyria 3, a music generation model capable of creating tracks with vocals and instrumental compositions based on text descriptions.
An automated research system from Sakana AI has gone from an idea to a peer-reviewed scientific publication, changing our understanding of the role of scientists.
A study reveals that people are surprisingly bad at spotting AI-generated text, even in casual, everyday conversations.
A study of faculty at 16 Russian universities reveals how AI is transforming research and teaching, and where it still falls short.
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